Paper Citation Record · LEDGER

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.18006.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.18006 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:26:33.005120Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy32
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f33b5526-2395-441a-be94-9ba35d41d5be · outbound

This paper cites Oil spill identification,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spill identification,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.503646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24793008-52b7-49ac-a5eb-69e975030e71 · outbound

This paper cites an unresolved cited work.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:26:33.492763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77270e27-28a2-48f2-9442-9a4e4cf23910 · outbound

This paper cites Sensors, features, and machine learning for oil spill detection and monitoring: A review,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Sensors, features, and machine learning for oil spill detection and monitoring: A review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.482989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7efd017-b3c8-4164-bb73-f50fa0e2b307 · outbound

This paper cites Oil spill detection using marine SAR images,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spill detection using marine SAR images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.472631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44a4c744-5a5d-4d96-be37-5f9afbf6500f · outbound

This paper cites Oil spill detection using synthetic aperture radar images and feature selection in shape space,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spill detection using synthetic aperture radar images and feature selection in shape space,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.461764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6f8ebe7-60e9-4f37-ac27-a2c2d3155080 · outbound

This paper cites Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.451651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36d938ff-2a3a-4d04-91b2-88136b2c154f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model U-net: Convolutional networks for biomedical image segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.440533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dca4abaf-59b0-46fe-b456-156743c9d11b · outbound

This paper cites Oil spills detection from SAR Earth observations based on a hybrid CNN transformer networks,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spills detection from SAR Earth observations based on a hybrid CNN transformer networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.430510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5cb0644-ea22-4b46-8c7e-6037eb63ae53 · outbound

This paper cites DS-UNet: Dual-Stream U-Net for Oil Spill Detection of SAR Image,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model DS-UNet: Dual-Stream U-Net for Oil Spill Detection of SAR Image,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.419955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5730aafe-571a-47c1-bece-2d1410836df2 · outbound

This paper cites Oil spill detection by satellite remote sensing,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spill detection by satellite remote sensing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.407263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b209db8-ac57-41d3-b584-6770b0f1438b · outbound

This paper cites Oil spill detection in Radarsat and Envisat SAR images,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spill detection in Radarsat and Envisat SAR images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.395349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 432253fb-e2d5-433e-bceb-20750ed08789 · outbound

This paper cites Con- volutional state space models for long-range spatiotemporal modeling,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Con- volutional state space models for long-range spatiotemporal modeling,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.382734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 361e230e-1e18-4a5e-b116-4168fc377c62 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:30.866883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221fc4cf-442d-4740-ad9c-6d96de4c4664 · outbound

This paper cites Mixed Transformer U-Net For Medical Image Segmentation.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Mixed Transformer U-Net For Medical Image Segmentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:26:33.114001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a247e577-8356-4cdf-97c3-c7fb8ea858ac · outbound

This paper cites Oil spill identification from satellite images using deep neural networks,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spill identification from satellite images using deep neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.370101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8fb704a-3abb-4709-8faa-3e46fc00d7f6 · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.359545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c3dafd6-3e03-4b8a-a234-5ab3590f7333 · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:31.462237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19f7053e-c078-4aa5-b8bc-e926c1b6a15e · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.348160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd8b4a18-7d39-48ac-8e8d-a4e9760bb2f7 · outbound

This paper cites Image transformer,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Image transformer,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.337355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec298c95-7b72-4802-b7b4-21585dd1a19b · outbound

This paper cites Sensors, features, and machine learning for oil spill detection and monitoring: A review,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Sensors, features, and machine learning for oil spill detection and monitoring: A review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.327223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c473c498-20e1-4523-8803-2d52567b3a97 · outbound

This paper cites Focal loss for dense object detection,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Focal loss for dense object detection,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:31.826215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c6bd6ab-7410-42ba-beee-41d66e41883c · outbound

This paper cites Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.309588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2fde113-6ad4-4c12-8f6b-b86100d01ff2 · outbound

This paper cites Power transformer fault diagnosis considering data imbalance and data set fusion,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Power transformer fault diagnosis considering data imbalance and data set fusion,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.298762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 98486cb5-4adc-4898-b832-bd814b45a2c8 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:32.090989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2976869f-84b6-44d8-9c58-6f743775c1ff · outbound

This paper cites Offset curves loss for imbalanced problem in medical segmentation,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Offset curves loss for imbalanced problem in medical segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.287461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9281bbc1-b189-4ac0-9ba8-bad4f40b9787 · outbound

This paper cites Com- positional Oil Spill Detection Based on Object Detector and Adapted Segment Anything Model from SAR Images,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Com- positional Oil Spill Detection Based on Object Detector and Adapted Segment Anything Model from SAR Images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.276708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d5d9117-b32d-4c18-9026-ed706ff432b7 · outbound

This paper cites Oil Spill Segmentation using Deep Encoder-Decoder models.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil Spill Segmentation using Deep Encoder-Decoder models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:26:33.083547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 692dd4c2-a11e-4c10-b194-1e5b3a28df3d · outbound

This paper cites Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:32.415325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fa816b-13d4-4e04-8451-722a3d0d2e39 · outbound

This paper cites Linknet: Exploiting encoder rep- resentations for efficient semantic segmentation,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Linknet: Exploiting encoder rep- resentations for efficient semantic segmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.265868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5289d75f-8a89-44fe-b6d4-647468a255b8 · outbound

This paper cites Pyramid scene parsing network,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Pyramid scene parsing network,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.255335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa94820d-6da3-4027-84ff-da73daf636ef · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.244041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1dd5f07d-81f8-4244-9f1e-ce6734b9a8a4 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.232273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7008183-341f-46e7-bdd0-68af957c925a · outbound

This paper cites Oil spill modeling: A critical review on current trends, perspectives, and challenges,.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spill modeling: A critical review on current trends, perspectives, and challenges,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.221433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b1c9b2e-5af2-4cf8-af18-2bf4b615f1b1 · outbound

This paper cites C., Zhu, Y ., Papandreou, G., Schroff, F., & Adam, H.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model C., Zhu, Y ., Papandreou, G., Schroff, F., & Adam, H

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.209569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80bae993-555e-4fbe-824e-0e088317796a · outbound

This paper cites J., Li, K., & Fei-Fei, L.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model J., Li, K., & Fei-Fei, L

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.197382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdb87baa-a4a6-4060-bf56-07a2c1bd6b5c · outbound

This paper cites Decoupled Weight Decay Regularization.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Decoupled Weight Decay Regularization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:32.987624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8730139-c149-40e4-a0cc-76ec66449c14 · outbound

This paper cites Detecting Marine pollutants and Sea Surface features with Deep learning in Sentinel-2 imagery[J].

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Detecting Marine pollutants and Sea Surface features with Deep learning in Sentinel-2 imagery[J]

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.185242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 459b0c20-64d2-440e-a131-9297458b46c4 · outbound

This paper cites MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data[J].

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data[J]

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.173615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 380b1aa8-2dff-4894-9aa6-a1484ab9cb9d · outbound

This paper cites Segnext: Rethinking convolutional attention design for semantic segmentation[J].

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Segnext: Rethinking convolutional attention design for semantic segmentation[J]

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.161511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40aeaa28-52cc-4dd8-b09e-5908638e96fb · outbound

This paper cites Oil spills detection from SAR Earth observations based on a hybrid CNN trans- former networks[J].

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Oil spills detection from SAR Earth observations based on a hybrid CNN trans- former networks[J]

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.150083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c97287f6-e5d8-46ce-bdd7-c70626bfc20f · outbound

This paper cites Detection of Marine Oil Spill from PlanetScope Images Using CNN and Transformer Models[J].

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model Detection of Marine Oil Spill from PlanetScope Images Using CNN and Transformer Models[J]

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:26:33.137898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.